About the RoleAs a Solutions Engineer at Pulse, you will work at the intersection of customer deployments and core engineering. You will help design, deploy, and operate Pulse in real production environments, often inside customer infrastructure, with a strong focus on reliability, performance, and accuracy.
This role is hands-on and technical. You will work closely with customer engineering teams while partnering with Pulse's platform, ML, and product teams to ensure successful deployments and continuous improvements.
Responsibilities- Deploy, operate, and debug Pulse services in Kubernetes-based environments
- Work directly with customers to support production rollouts, pilots, and ongoing operations
- Configure and optimize extraction pipelines, schemas, and validation workflows
- Diagnose accuracy, latency, and infrastructure issues across distributed systems
- Build internal tools and customer-facing utilities in Python to support deployments
- Support API integrations, webhooks, and downstream data delivery workflows
- Collaborate with core engineering to surface product gaps and improve platform reliability
- Own operational excellence for customer-facing deployments, including monitoring and incident response
Requirements- 2+ years building and operating production systems, new grads with strong infra experience considered
- Strong experience with Kubernetes, including deploying, debugging, and operating services in production
- Proficiency in Python for backend services, tooling, and automation
- Experience working with APIs, distributed systems, and asynchronous workflows
- Comfort working directly with customer engineering teams on technical deployments
- Strong debugging skills across application, infrastructure, and data layers
- Clear written and verbal communication, with a bias toward ownership and execution
Nice to have- Experience running workloads on AWS, GCP, or Azure
- Familiarity with Docker, Helm, Terraform, or similar tooling
- Experience with observability tooling (metrics, logs, tracing)
- Background in data infrastructure, ML platforms, or document processing systems
SponsorshipSponsorship available.
Compensation and benefitsCompetitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
